Factors Influencing the Adoption of Big Data Analytics in the Digital Transformation Era: Case Study of Jordanian SMEs

Big data (BD) analytics has been increasingly gaining attraction in both practice and theory in light of its opportunities, barriers and expected benefits. In particular, emerging economics view big data analytics as having great importance despite the fact that it has been in a constant struggle wi...

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Bibliographic Details
Published in:Sustainability 2022-02, Vol.14 (3), p.1802
Main Authors: Lutfi, Abdalwali, Alsyouf, Adi, Almaiah, Mohammed Amin, Alrawad, Mahmaod, Abdo, Ahmed Abdullah Khalil, Al-Khasawneh, Akif Lutfi, Ibrahim, Nahla, Saad, Mohamed
Format: Article
Language:English
Subjects:
Big Data
Data analysis
Decision making
Developing countries
Environmental factors
Innovations
Knowledge management
LDCs
Literature reviews
Management decisions
Security
Social research
Success
Sustainability
Technological change
Technology Acceptance Model
Technology adoption
Velocity
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Summary:Big data (BD) analytics has been increasingly gaining attraction in both practice and theory in light of its opportunities, barriers and expected benefits. In particular, emerging economics view big data analytics as having great importance despite the fact that it has been in a constant struggle with the barriers that prevent its adoption. Thus, this study primarily attempted to determine the drivers of big data analytics in the context of a developing economy, Jordan. The study examined the influence of technological, organizational and environmental factors on big data adoption in the Jordanian SMEs context, using PLS-SEM for the analysis. The empirical results revealed that the relative advantage, complexity, security, top management support, organizational readiness and government support influence the adoption of BD, whilst pressure of competition and compatibility appeared to be of insignificant influence. The findings are expected to contribute to enterprise management and strategic use of data analytics in the present dynamic market environment, for both researcher and practitioner circles concerned with the adoption of big data in developing countries.
ISSN:2071-1050
2071-1050
DOI:10.3390/su14031802